Miriam Baca

1.2k total citations · 1 hit paper
6 papers, 234 citations indexed

About

Miriam Baca is a scholar working on Cellular and Molecular Neuroscience, Molecular Biology and Pharmacology. According to data from OpenAlex, Miriam Baca has authored 6 papers receiving a total of 234 indexed citations (citations by other indexed papers that have themselves been cited), including 2 papers in Cellular and Molecular Neuroscience, 1 paper in Molecular Biology and 1 paper in Pharmacology. Recurrent topics in Miriam Baca's work include interferon and immune responses (1 paper), Cell death mechanisms and regulation (1 paper) and Neurological Disease Mechanisms and Treatments (1 paper). Miriam Baca is often cited by papers focused on interferon and immune responses (1 paper), Cell death mechanisms and regulation (1 paper) and Neurological Disease Mechanisms and Treatments (1 paper). Miriam Baca collaborates with scholars based in United States, France and Singapore. Miriam Baca's co-authors include Richard A.D. Carano, Brad Bolon, Lauri Diehl, Kai Barck, Patrick Caplazi, Jason DeVoss, Oded Foreman, Amanda Jacobson, Benjamin I. Laufer and James Maksymetz and has published in prestigious journals such as Nature Communications, Scientific Reports and Cell Death and Differentiation.

In The Last Decade

Miriam Baca

5 papers receiving 228 citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Cross-species transcriptomic atlas of dorsal root ganglia reveals species-specific programs for sensory function

2023 95 citations Min Jung, Michelle Dourado et al. Nature Communications profile →

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Miriam Baca United States	5	79	69	48	47	43	6	234
Franziska Karl Germany	10	68 0.9×	92 1.3×	13 0.3×	29 0.6×	41 1.0×	11	267
Atsuko Kamo Japan	13	75 0.9×	110 1.6×	82 1.7×	91 1.9×	115 2.7×	18	511
M.G. Sabbadini Italy	11	213 2.7×	43 0.6×	42 0.9×	80 1.7×	49 1.1×	24	376
Ofir Zmira Israel	6	138 1.7×	72 1.0×	16 0.3×	26 0.6×	20 0.5×	7	369
Vincenza Nardicchi Italy	10	104 1.3×	70 1.0×	76 1.6×	24 0.5×	38 0.9×	19	338
Anna Ticca Italy	12	106 1.3×	46 0.7×	50 1.0×	52 1.1×	25 0.6×	17	448
Lucas Vicuña Chile	7	129 1.6×	95 1.4×	9 0.2×	106 2.3×	66 1.5×	11	328
Inmaculada Puertas Spain	14	97 1.2×	38 0.6×	113 2.4×	25 0.5×	87 2.0×	30	429
Chetan S. Patil United States	9	240 3.0×	33 0.5×	30 0.6×	57 1.2×	65 1.5×	10	399
Julie Czerkowicz United States	7	59 0.7×	135 2.0×	88 1.8×	121 2.6×	41 1.0×	14	337

Countries citing papers authored by Miriam Baca

Since Specialization

Citations

This map shows the geographic impact of Miriam Baca's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Miriam Baca with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Miriam Baca more than expected).

Fields of papers citing papers by Miriam Baca

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Miriam Baca. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Miriam Baca. The network helps show where Miriam Baca may publish in the future.

Co-authorship network of co-authors of Miriam Baca

This figure shows the co-authorship network connecting the top 25 collaborators of Miriam Baca. A scholar is included among the top collaborators of Miriam Baca based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Miriam Baca. Miriam Baca is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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6 of 6 papers shown

1.

Gu, Xiaowu, Tom Truong, Tae‐Hoon Kim, et al.. (2025). Evaluating the Optic Nerve Crush Model to Understand the Function of Microglia in Glaucoma Neuroprotection. Investigative Ophthalmology & Visual Science. 66(12). 56–56.

2.

Solon, Margaret, Nianfeng Ge, Susan Haller, et al.. (2024). ZBP1 and TRIF trigger lethal necroptosis in mice lacking caspase-8 and TNFR1. Cell Death and Differentiation. 31(5). 672–682. 21 indexed citations

3.

Jung, Min, Michelle Dourado, James Maksymetz, et al.. (2023). Cross-species transcriptomic atlas of dorsal root ganglia reveals species-specific programs for sensory function. Nature Communications. 14(1). 366–366. 95 indexed citations breakdown →

4.

Brendza, Robert P., Xiaoying Gao, Kimberly L. Stark, et al.. (2022). Anti-α-synuclein c-terminal antibodies block PFF uptake and accumulation of phospho-synuclein in preclinical models of Parkinson's disease. Neurobiology of Disease. 177. 105969–105969. 7 indexed citations

5.

Weber, Martin, Tiffany Wu, William J. Meilandt, et al.. (2017). BACE1 across species: a comparison of the in vivo consequences of BACE1 deletion in mice and rats. Scientific Reports. 7(1). 44249–44249. 12 indexed citations

6.

Caplazi, Patrick, Miriam Baca, Kai Barck, et al.. (2015). Mouse Models of Rheumatoid Arthritis. Veterinary Pathology. 52(5). 819–826. 99 indexed citations

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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